Title :
Joint estimation of time delay and pitch of voiced speech signals
Author :
Qian, Xiaoshu ; Kumaresan, Ramdas
Author_Institution :
Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
fDate :
Oct. 30 1995-Nov. 1 1995
Abstract :
The paper shows that the time delay of a voiced speech signal arriving at different microphones in a microphone array can be more accurately estimated from low signal to noise ratio data if the signal´s quasi-periodic property is effectively used. We propose a joint estimator of the time delay and the pitch period based on the maximum likelihood method. For a periodic signal in noise, the proposed estimator is shown analytically to use the data more efficiently than the correlation method, yielding a more robust performance. The simulation tests show that the new delay estimator achieves a higher accuracy than the correlation method for speech data with moderately low signal to noise ratio.
Keywords :
speech processing; SNR; accuracy; correlation method; joint estimation; low signal to noise ratio data; maximum likelihood method; microphone array; noise; periodic signal; pitch estimation; quasiperiodic signal; robust performance; simulation tests; speech data; time delay estimation; voiced speech signals; Correlation; Delay effects; Delay estimation; Maximum likelihood estimation; Microphone arrays; Performance analysis; Signal analysis; Signal to noise ratio; Speech enhancement; Yield estimation;
Conference_Titel :
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7370-2
DOI :
10.1109/ACSSC.1995.540647